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sarveshtalele

Personal Finance MCP

calculate_net_worth

Compute net worth by subtracting total liabilities from total assets using JSON maps of named values.

Instructions

Calculate net worth from assets and liabilities. Input JSON maps of name:value pairs. Example assets: {"house": 5000000, "stocks": 200000, "fd": 300000} Example liabilities: {"home_loan": 3000000, "car_loan": 500000}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assets_jsonYes
liabilities_jsonYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It only describes the calculation and input format, with no mention of side effects, permissions, validation, or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and includes helpful examples. It could be slightly more structured, but it is efficient and front-loads the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists (not shown), so return values are covered. However, the description lacks details on edge cases, validation, or expected behavior for invalid inputs, making it adequate but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description explains that parameters expect JSON maps of name:value pairs and provides concrete examples, adding significant meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Calculate net worth from assets and liabilities,' specifying the verb and resource. It distinguishes from sibling tools (e.g., calculate_future_value) which have different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool versus alternatives, but the purpose is self-explanatory. Examples are provided for input format, but no exclusions or contextual cues.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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